Estimation of the magnetoelectric coefficient of a piezoelectric-magnetostrictive composite via finite element analysis

Sun, TY; Su, Jie; Yong, Zheng; Chan, Helen Lai Wa; Wang, Yu

doi:10.1063/1.4812222

Cited by 8 publications

(9 citation statements)

References 26 publications

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“…Despite The microcomposite or 'spheres' shows an improved value compared to the simple bilayer having the lowest resonant voltage, the highest peak of the 0-3 geometry is 103.5 times larger than the mean (non-resonant) voltage between 2-200 kHz, whereas the same ratio for the 1-3 geometry equals 37.45. The maximum ME coefficient of the 0-3 geometry is 16 mV/cmOe, less than half of the simulated voltage coefficient as reported by Sun et al [9] for a CFObased ME device. This indicates a stronger correlation between the AC field magnitude and output voltage for the composite material when compared to the bilayer.…”

Section: A Comparison Of Me Geometriescontrasting

confidence: 56%

“…A rigid trilayer with a volume of 1.26 mm 3 is fabricated in [8] with an output power of 42.7 mW, adhering to safety standards for magnetic field exposure. Rod-based ME are modelled in [9] and fabricated in [5]. Particle composites are also modelled in [9], which produced the results expected from literature for the 0-3 (38.4 mV/cmOe) and 1-3 (~1.5 V/cmOe) case, with CFO as the MS material.…”

Section: Introductionmentioning

confidence: 57%

“…Rod-based ME are modelled in [9] and fabricated in [5]. Particle composites are also modelled in [9], which produced the results expected from literature for the 0-3 (38.4 mV/cmOe) and 1-3 (~1.5 V/cmOe) case, with CFO as the MS material.…”

Section: Introductionmentioning

confidence: 57%

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Encapsulated Magnetoelectric Composites for Wirelessly Powered Brain Implantable Devices

McGlynn

Das

Heidari

2020

2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

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Magnetoelectric devices are readily employed as sensors, actuators, and antennas, but typically exhibit low power output. This paper presents considerations for the viability of magnetoelectric composites for wireless power transfer in neural implantation. This is accomplished herein by studying different types of biocompatible encapsulants for magnetoelectric devices, their impact on the output voltage of the composites, and the rigidity of the materials in the context of tissue damage. Simulation results indicate that a polymer encapsulant, rather than creating a substrate clamping effect, increases the voltage output of the magnetoelectric, which can be further improved by careful polymer selection. These attributes are modelled using the finite element method (FEM) with COMSOL Multiphysics. The addition of a 0.2 mm poly(ethyl acrylate) encapsulating layer increases the piezoelectric voltage to 3.77 V AC output at a magnetic field strength of 200 Oe, as the magnetostrictive layer deforms inside the flexible outer polymer. Comparing voltage conditioning circuits, the output is sufficient for low-voltage neuronal stimulation when employing a simple bridge rectifier which boasts minimal charging time and ripple voltage lower than 1 mV.

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Section: A Comparison Of Me Geometriescontrasting

confidence: 56%

Section: Introductionmentioning

confidence: 57%

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Encapsulated Magnetoelectric Composites for Wirelessly Powered Brain Implantable Devices

McGlynn

Das

Heidari

2020

2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

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“…If the material is sufficiently prestressed such that all magnetic moments are perpendicular to the direction of magnetization at the beginning of the magnetization process, it is common practice to omit the negative one-third term appearing in the normal strain components λ 1 , λ 2 , and λ 3 . 27 In the presence of external stresses (within the elastic regime), the total strain can be calculated as…”

Section: Computationally Efficient Locally Linearized Constitutivmentioning

confidence: 99%

Computationally efficient locally linearized constitutive model for magnetostrictive materials

Wahi

Kumar

Santapuri

et al. 2019

Journal of Applied Physics

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This paper presents a computationally efficient constitutive model for magnetostrictive materials. High computational efficiency is achieved through the use of local linearization (about easy axes) and discrete energy-averaging techniques. The model is applied to iron-gallium alloys (Galfenol) and tested for different magnetic field orientations relative to the easy axes. It is observed that the model accurately predicts both sensing and actuation characteristics while reducing the computation time by a large factor (.1000 times) when compared to the nonlinear energy minimization models. Furthermore, the average error observed in λ-H and B-H curves is less than 3.5% with the error increasing at magnetic field orientations farther from easy axes, particularly at large magnetic field values. Finally, the model is integrated with a finite element framework to predict the response of a Galfenol rod transducer system, and parametric studies are performed for different current and prestress conditions to optimize the device performance.

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“…Sun et al calculated the magnetoelectric coupling of composite structures employing COM-SOL software [50]. In this work the piezoelectric phase is modeled using a linear relation between the strain and the electric fields but in the case of the magnetic phase quadratic relation between the applied magnetic fields and the strain was used (similar to equation 1.13).…”

Section: Numerical Models Sun2013mentioning

confidence: 99%

Modeling of magnetoelectric composite structures

Cena¹,

Tomaš²

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Modeling of magnetoelectric composite structures Tomás Ignacio Muchenik Ceña Novel models to predict magnetoelectric (ME) properties of composites made of piezoelectric (PE) and piezomagnetic (PM) phases is proposed. Two different composite arrangements are used: laminate and particulate. ME properties for laminate arrangement are obtained by applying the multiphysics equations for all four possible laminate configurations (TT, LT, TL, and LL), with appropriate boundary conditions. Closed form, explicit formulas are derived for the calculation of the ME charge and voltage coefficients as a function of material properties of both phases and PM volume fraction. A new coefficient, the ME coupling factor, is proposed in order to assess the conversion of magnetic work into electric work. The predicted ME voltage coefficient is in agreement with previous work and experimental data. A new approach is proposed to take into account the conductivity of the PM phase, resulting in calculated ME charge coefficients within 30% of experimental data. The voltage, current, and electric power generated by unit of magnetic field applied to the composite define the intrinsic voltage, current, and power conversion factors. Since the PM phase of the composite has a higher magnetic permeability than the surrounding medium, a far filed magnetic field is not fully utilized due to demagnetization. Thus, novel explicit equations are developed here to calculate the extrinsic voltage, current, and power conversion factors accounting for demagnetization. The proposed formulation is applied to various materials and geometries to illustrate the process of material and device-geometry selection leading to an optimum design. The magnetoelectric (ME) properties of particulate composites are calculated using Eshelby theory and two homogenization techniques: dilute approximation and Mori-Tanaka mean field theory. A method that allows the calculation of all ME properties under any boundary conditions is proposed. These boundary conditions are dictated by the experimental configuration, e.g. films on a substrate, free-standing composites, etc. Predictions are compared with calculations reported by Harshe et al. and Nan et al., and good correlation is obtained with those, but to achieve good correlation with experimental data, the conductivity of the piezomagnetic (PM) phase must be taken into account, and a method is proposed to that effect. Percolated composites do not have any piezoelectric (PE) or ME properties because the charge leaks through the conductive PM phase. The experimental parameters that influence the percolation threshold are discussed and the best particulate composite design is proposed. Unlike previous models that did not account for conductivity, correlation between the proposed model and experimental data is much better. I am grateful to my committee chair, Prof. Ever Barbero, for making my graduate studies a great academic and personal experience. Having the opportunity to conduct research with Prof. Barbero allowed me to write ...

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Estimation of the magnetoelectric coefficient of a piezoelectric-magnetostrictive composite via finite element analysis

Cited by 8 publications

References 26 publications

Encapsulated Magnetoelectric Composites for Wirelessly Powered Brain Implantable Devices

Encapsulated Magnetoelectric Composites for Wirelessly Powered Brain Implantable Devices

Computationally efficient locally linearized constitutive model for magnetostrictive materials

Modeling of magnetoelectric composite structures

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